Before the Lights Go Out
is Maggie's new book about how our current energy systems work, and how we'll have to change them in the future. It comes out April 10th and is available for pre-order now. (E-book pre-orders coming soon!) Over the next couple of months, Maggie will be posting some energy-related stories based on things she learned while researching the book. This is one of them.

Steve_Saus submitterated this video that combines 14 years of weather radar images with a soothing piano concerto. It's a neat thing to watch a couple minutes of (though I'm not sure I needed to sit around for all 33 minutes of the video). It also reminded me of something really interesting that I learned about U.S. weather patterns and alternative energy.

Weather data, like the kind visualized here, can be collected, analyzed, and turned into algorithms that show us, in increasingly granular detail, what we can expect the weather to do in a specific part of the United States. Today, you can even break this information down to show what happens in one small part of a state compared to another small part. And that's important. As we increase our reliance on sources of energy that are based on weather patterns, this kind of information will become crucial to not only predicting how much power we can expect to get from a given wind farm, but also in deciding where to build that wind farm in the first place.

Take Texas as an example, which has the most installed wind power capacity of any U.S. state. That's great. Unfortunately, most of those wind farms are built in places where we can't use the full benefit of that wind power, because the wind peaks at night—just as electricity demand hits its low point. A simple change in location would make each wind turbine more useful, and make it a better investment.

Before the Lights Go Out
is Maggie's new book about how our current energy systems work, and how we'll have to change them in the future. It comes out April 10th and is available for pre-order now. (E-book pre-orders coming soon!) Over the next couple of months, Maggie will be posting some energy-related stories based on things she learned while researching the book. This is one of them.

Steve_Saus submitterated this video that combines 14 years of weather radar images with a soothing piano concerto. It's a neat thing to watch a couple minutes of (though I'm not sure I needed to sit around for all 33 minutes of the video). It also reminded me of something really interesting that I learned about U.S. weather patterns and alternative energy.

Weather data, like the kind visualized here, can be collected, analyzed, and turned into algorithms that show us, in increasingly granular detail, what we can expect the weather to do in a specific part of the United States. Today, you can even break this information down to show what happens in one small part of a state compared to another small part. And that's important. As we increase our reliance on sources of energy that are based on weather patterns, this kind of information will become crucial to not only predicting how much power we can expect to get from a given wind farm, but also in deciding where to build that wind farm in the first place.

Take Texas as an example, which has the most installed wind power capacity of any U.S. state. That's great. Unfortunately, most of those wind farms are built in places where we can't use the full benefit of that wind power, because the wind peaks at night—just as electricity demand hits its low point. A simple change in location would make each wind turbine more useful, and make it a better investment.